Qingfeng Liu
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
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- Monetary Policy and Economic Impact
Papers in
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- Speech Recognition and Synthesis 7
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- Monetary Policy and Economic Impact 7
- Co-authors
- Ryo Okui (4 shared papers)Gary W. Emery (1 shared paper)Yang Feng (3 shared papers)Li-Rong Dai (4 shared papers)Hui Jiang (4 shared papers)G. Q. Zhao (2 shared papers)Pan Zhou (2 shared papers)Chin‐Hui Lee (2 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Mathematics and Computers in Simulation (1 paper)Journal of Forecasting (1 paper)Economics Letters (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qingfeng Liu
24 papers receiving 381 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 143
- General Economics, Econometrics and Finance 64
- Finance 74
- General Energy 7
- Computational Mathematics 4
Countries citing papers authored by Qingfeng Liu
This map shows the geographic impact of Qingfeng Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qingfeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Liu more than expected).
Fields of papers citing papers by Qingfeng Liu
This network shows the impact of papers produced by Qingfeng Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qingfeng Liu. The network helps show where Qingfeng Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 109 | |
| 2 | 2001 | 74 | |
| 3 | 2015 | 40 | |
| 4 | 2015 | 22 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2023 | 19 | |
| 8 | 2015 | 16 | |
| 9 | 2013 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2011 | 13 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2014 | 4 | |
| 15 | 2005 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2008 | 2 | |
| 18 | A New GARCH-Type Model | 2010 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2018 | 1 |
About Qingfeng Liu
Qingfeng Liu is a scholar working on Artificial Intelligence, General Economics, Econometrics and Finance, Signal Processing, Statistics and Probability and Finance, having authored 30 papers that have together received 394 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Monetary Policy and Economic Impact (7 papers), Speech and Audio Processing (7 papers), Music and Audio Processing (6 papers), Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (5 papers), Financial Risk and Volatility Modeling (4 papers) and Market Dynamics and Volatility (4 papers). The work is most often cited by research in Statistics and Probability (143 citations), General Economics, Econometrics and Finance (64 citations), Finance (74 citations), General Energy (7 citations) and Computational Mathematics (4 citations). Qingfeng Liu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ryo Okui, Gary W. Emery, Yang Feng, Li-Rong Dai, Hui Jiang, G. Q. Zhao, Pan Zhou, Chin‐Hui Lee, Jun Du and Yu Hu. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Mathematics and Computers in Simulation, Journal of Forecasting, Economics Letters and Frontiers in Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.